Abe Yoshiyuki, Hanai Kouzo, Nakano Makiko, Ohkubo Yasuyuki, Hasizume Toshinori, Kakizaki Toru, Nakamura Masato, Niki Noboru, Eguchi Kenji, Fujino Tadahiko, Moriyama Noriyuki
Department of Respiratory Disease, National Kanagawa Hospital, Ochiai 666-1, Hadano, Kanagawa 257-8585, Japan.
Anticancer Res. 2005 Jan-Feb;25(1B):483-8.
We evaluated a computer-aided diagnosis (CAD) system with automatic detection of pulmonary nodules for lung cancer screening with computed tomography (CT). Five hundred and eighteen participants were examined with low-dose helical CT during a lung cancer screening by three respiratory physicians according to the General Rule edited by the Japan Lung Cancer Society. Four cases were detected by CAD and pathologically diagnosed as lung cancer. We compared the detection capability of the physician and CAD in 301 participants. Three physicians determined 75/301 (24.9%) participants as "e" (suspicious of lung cancer) in consensus without CAD, while 3 participants were added to "e" with CAD. Three physicians did not independently judge as "e" in 14 (18.7%), 16 (21.3%) and 16 (21.3%) out of 75 participants. CAD could not identify 17 (22.7%) nodules of 75 participants, and all 17 were less than 6 mm in diameter. The CAD system offers a useful second opinion when physicians examine patients at lung cancer CT screenings.
我们评估了一种用于肺癌筛查的计算机辅助诊断（CAD）系统，该系统可通过计算机断层扫描（CT）自动检测肺结节。在一项肺癌筛查中，由三位呼吸科医生根据日本肺癌协会编辑的《一般规则》，对518名参与者进行了低剂量螺旋CT检查。CAD检测出4例病例，并经病理诊断为肺癌。我们比较了301名参与者中医生和CAD的检测能力。在没有CAD的情况下，三位医生一致判定75/301（24.9%）名参与者为“e”（疑似肺癌），而在使用CAD后，有3名参与者被追加判定为“e”。在75名参与者中，三位医生分别对14名（18.7%）、16名（21.3%）和16名（21.3%）参与者未独立判定为“e”。CAD未能识别75名参与者中的17个（22.7%）结节，所有17个结节直径均小于6毫米。当医生在肺癌CT筛查中检查患者时，CAD系统提供了有用的第二种意见。
